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Data Architect
Data ArchitectPurple Drive • Plano, TX, United States
Data Architect

Data Architect

Purple Drive • Plano, TX, United States
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  • [job_card.full_time]
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Job Summary

We are seeking an experienced Data Architect with deep expertise in ETL / ELT design, Snowflake, and modern data architecture . The ideal candidate will have a strong background in data modeling, governance, and cloud-based data platforms , with the ability to standardize and streamline data engineering practices across teams. This role requires close collaboration with data engineers, analysts, and business stakeholders to design scalable, secure, and high-performing data solutions.

Key Responsibilities

  • Design and implement scalable data architectures supporting analytical and operational use cases across cloud platforms such as Snowflake, BigQuery, or Redshift .
  • Develop and optimize ETL / ELT pipelines for ingestion, transformation, and integration of large-scale structured and unstructured datasets.
  • Define data modeling standards , governance policies, and architecture frameworks to ensure consistency, quality, and compliance.
  • Collaborate with cross-functional teams to align data structures and implement data lineage, metadata management, and security frameworks .
  • Establish best practices for data storage, performance optimization, and cost management in cloud environments.
  • Partner with analytics and engineering teams to support data warehouse and lakehouse initiatives .
  • Document architecture decisions, standards, and integration patterns for reusability and knowledge sharing.
  • Participate in data platform modernization initiatives , contributing to the adoption of data mesh, lakehouse, and modern data stack principles .
  • Provide technical leadership and mentorship to data engineering teams, driving standardization and automation.

Required Skills & Experience

  • 7-10 years of experience in data architecture, data engineering, or BI architecture roles.
  • Proven hands-on experience with Snowflake (schema design, performance tuning, compute optimization, and cost governance).
  • Expertise in ETL / ELT tools and workflow orchestration (e.g., Airflow, dbt, Glue, Informatica, Matillion ).
  • Strong understanding of data modeling, warehousing concepts, and dimensional design (Star / Snowflake schema) .
  • Knowledge of data governance, lineage, security, and compliance frameworks .
  • Experience with Python, SQL, or Spark for data transformation and pipeline development.
  • Familiarity with modern data architectures such as data mesh, lakehouse, or data fabric .
  • Excellent documentation, communication, and stakeholder alignment skills.
  • Ability to work collaboratively with engineering, analytics, and business teams in an Agile environment.
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